Eleven grand challenges in single-cell data science.
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Peer-reviewed
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Authors
Lähnemann, David
Köster, Johannes
Szczurek, Ewa
Hicks, Stephanie C
Abstract
The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands-or even millions-of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.
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Journal Title
Genome biology
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Journal ISSN
1474-7596
Volume Title
21
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Sponsorship
NHGRI NIH HHS (R01 HG007069)
Cancer Research UK (22231)
Cancer Research UK (22231)